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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Developing or adapting high-speed image acquisition and processing methods for the simultaneous extraction
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(EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use
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of Python libraries, building on existing prototypes. Construction of a computer vision pipeline to aid knowledge graph construction. Implementation of a prototype interface, developed with the design team
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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, or Mechanical Engineering. Experience in microfluidics and fluid mechanics. Strong programming skills in MATLAB. Experience with a Verasonics ultrasound imaging system is a plus. Good communication and
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. ACTIVITIES Medical image processing and 3D model reconstruction Computational model development using mechanical properties of biological tissues (from the laboratory’s work) Scientific result dissemination in
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proficient with computer software including MicroSoft Office, Adobe Acrobat and Excel database software. Desirable Qualifications: Experience with statistical software (e.g., Graphpad/Prism, SPSS, STATA, R
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation